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2025-04-02 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article mainly explains "how to understand Python database". Interested friends may wish to have a look at it. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to understand Python database.
Zope created with Python is the most widely used and easily understood content management framework in the open source domain. This tool allows programmers who know Python to create and deploy highly interactive websites in less time than JSP/ASP. Under this framework, website owners can easily modify the content of the site without programmer intervention.
Zope has been put into practice for several years. At present, it has been widely used in Europe. Zope has also won wide popularity in the United States. At present, the development of Zope is mainly focused on simplifying the development process and further separating the function from the presentation of content, thus once again increasing the popularity of Zope. Like Python, Zope is also open source software.
Zope does introduce a considerable system load, which reduces system performance during development, but some techniques can effectively minimize problems when deploying a website. One thing that is often overlooked when considering Python applications in enterprises is Jython, a variant of Python database. Jython is written entirely in the Java language.
To achieve rapid development and application testing, to improve the use of Java class libraries with much lower development time than Java edit-compile-test. Jython also tightly integrates the code of Python and Java. So that both can make full use of each other's advantages. This is one of the goals that Microsoft .NET 's CLR technology aims to achieve, but today it has become a reality for Python.
Obviously, the enterprise application of Python should also take the opposing party's opinion seriously. The main arguments against Python as a viable language for enterprise programming are as follows:
◆ has far fewer developers than other programming languages, such as Java,Python.
◆ lacks true multiprocessor support.
◆ lacks commercial support.
◆ software performance (although various reviews have repeatedly shown that Python is comparable to Java in most applications).
Of course, the lack of commercial support is a problem for most open source technologies. For Python, he couldn't find a way to cope with the situation for the time being. Recently, however, some European companies that follow Python have formed a new business group, and perhaps this move marks a new stage in the development of Python (please refer to the website of the Python Business Forum). The lack of pre-packaged solution PHP has won brilliant success in the field of enterprise software, mainly due to its wide range of practical product categories, such as discussion boards, chat servers and group calendars, as well as instant messaging systems.
By contrast, Python offers far fewer solutions. The distribution of the Python database does include some extended class libraries, and more and more programmers are working on developing Python tools equivalent to PHP. But considering the time urgency of the market, and the problems you face already have ready-made PHP solutions, then PHP will naturally become your *.
Most development managers know very little about Python. In the high-pressure environment of modern IT field, project managers' lack of understanding of Python and its tools and their lack of knowledge of software development have naturally become a dead point for Python to be accepted.
After all, CIO or development executives are under heavy pressure to successfully complete development tasks in the end. Under the reality that there is a lack of concrete and attractive evidence of possible benefits, most development managers prefer what they know. So it's not surprising that few people know about Python. The limitations of the database access layer look too primitive compared to existing mature technologies, such as ODBC and JDBC,Python. Although this aspect is also changing.
However, the development department needs to smoothly join existing complex legacy data, as well as fast SQL database access, all of which make it difficult to show too much interest in Python in a short period of time. However, Python is also developing rapidly in this field, and it is entirely possible for Python to set foot in it in half a year or so.
At this point, I believe you have a deeper understanding of "how to understand Python database". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!
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